TY - GEN
T1 - Application of shunting inhibitory artificial neural networks to medical diagnosis
AU - Arulampalam, G.
AU - Bouzerdoum, A.
N1 - Publisher Copyright:
© 2001 ARCME, Univ of WA.
PY - 2001
Y1 - 2001
N2 - Shunting inhibitory artificial neural networks (SIANNs) are biologically inspired networks in which the neurons interact among each other via a nonlinear mechanism called shunting inhibition. Since they are high-order networks, SIANNs are capable of producing complex, nonlinear decision boundaries. In this article, feedforward SIANNs are applied to several medical diagnosis problems and the results are compared with those obtained using multilayer perceptrons (MLPs). First, the structure of feedforward SIANNs is presented. Then, these networks are applied to some standard medical classification problems, namely the Pima Indians diabetes and Wisconsin breast cancer classification problems. The SIANN performance compares favourably with that of MLPs. Moreover, some problems with the diabetes data set are addressed and a reduction in the number of inputs is investigated.
AB - Shunting inhibitory artificial neural networks (SIANNs) are biologically inspired networks in which the neurons interact among each other via a nonlinear mechanism called shunting inhibition. Since they are high-order networks, SIANNs are capable of producing complex, nonlinear decision boundaries. In this article, feedforward SIANNs are applied to several medical diagnosis problems and the results are compared with those obtained using multilayer perceptrons (MLPs). First, the structure of feedforward SIANNs is presented. Then, these networks are applied to some standard medical classification problems, namely the Pima Indians diabetes and Wisconsin breast cancer classification problems. The SIANN performance compares favourably with that of MLPs. Moreover, some problems with the diabetes data set are addressed and a reduction in the number of inputs is investigated.
UR - http://www.scopus.com/inward/record.url?scp=84953718312&partnerID=8YFLogxK
U2 - 10.1109/ANZIIS.2001.974056
DO - 10.1109/ANZIIS.2001.974056
M3 - Conference contribution
AN - SCOPUS:84953718312
T3 - ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference
SP - 89
EP - 94
BT - ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th Australian and New Zealand Intelligent Information Systems Conference, ANZIIS 2001
Y2 - 18 November 2001 through 21 November 2001
ER -